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Data source: US Social Security Administration
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Popularity of the first name Tracey correlates with...

VariableCorrelationYearsHas img?
Arson in New Yorkr=0.9738yrsNo
Carjackings in the USr=0.9627yrsNo



Popularity of the first name Tracey also correlates with...

VariableCorrelationYearsSys. Score
Kerosene used in Turkiyer=0.9843yrs434
Kerosene used in Mexicor=0.9840yrs432
Petroluem consumption in Bulgariar=0.9642yrs430
Average number of milk cows in the United Statesr=0.9343yrs422
Robberies in Oregonr=0.9738yrs417
Physical album shipment volume in the United Statesr=0.9624yrs414
The marriage rate in Arkansasr=0.9623yrs413
The marriage rate in Nevadar=0.9623yrs413
The marriage rate in Tennesseer=0.9623yrs413
Google searches for 'panama canal'r=0.9519yrs409
Gasoline pumped in Bulgariar=0.9642yrs400
Air pollution in San Diego, Californiar=0.9643yrs396
US household spending on booksr=0.9523yrs392
The number of switchboard operators in Indianar=0.9620yrs390
The number of telemarketers in New Jerseyr=0.9520yrs390
The number of floral designers in Virginiar=0.9620yrs390
Burglaries in Colorador=0.9638yrs386
US birth rates of triplets or morer=0.9120yrs380
Google searches for 'Panama Canal'r=0.9419yrs378
Google searches for 'black holes'r=0.9319yrs376
Burglaries in New Yorkr=0.9538yrs374
The wind speed in Nashviller=0.939yrs372
Air pollution in Los Angelesr=0.9543yrs368
United States music album salesr=0.916yrs367
Customer satisfaction with Verizonr=0.8628yrs364
Burglaries in Oregonr=0.9538yrs364
Customer satisfaction with Frontier Communicationsr=0.8528yrs363
Air pollution in Los Angelesr=0.9243yrs363
Remaining Forest Cover in the Brazilian Amazonr=0.8936yrs362
US household spending on clothingr=0.9523yrs362
US household spending on clothing for menr=0.9423yrs360
Kerosene used in Venezuelar=0.9442yrs358
The number of compensation and benefits managers in Missourir=0.9519yrs358
The divorce rate in Alabamar=0.9423yrs352
Kerosene used in Ecuadorr=0.9342yrs346
Google searches for 'learn spanish'r=0.9119yrs343
The divorce rate in North Carolinar=0.9423yrs342
Burglary rates in the USr=0.938yrs336
Kerosene used in Portugalr=0.9243yrs336
The divorce rate in Tennesseer=0.9423yrs332
Air pollution in Oxnard, Californiar=0.9541yrs332
Kerosene used in Uruguayr=0.9342yrs326
The marriage rate in Idahor=0.9423yrs320
The number of telemarketers in Californiar=0.9520yrs320
Air pollution in New York Cityr=0.943yrs320
Petroluem consumption in Romaniar=0.9242yrs314
Burglaries in Californiar=0.9538yrs314
The marriage rate in Ohior=0.9423yrs310
The number of computer programmers in New Jerseyr=0.9520yrs310
Air pollution in San Diego, Californiar=0.9243yrs310
Kerosene used in Romaniar=0.9242yrs304
Burglaries in Texasr=0.9438yrs302
The marriage rate in South Carolinar=0.9423yrs300
The number of vending machine repairers in Connecticutr=0.9420yrs298
Air pollution in Spokane, Washingtonr=0.9143yrs298
Gasoline pumped in Somaliar=0.9242yrs294
Burglaries in Washingtonr=0.9438yrs292
The marriage rate in South Dakotar=0.9423yrs290
The number of bill collectors in Marylandr=0.9420yrs288
Kerosene used in Hong Kongr=0.942yrs282
Burglaries in Oklahomar=0.9338yrs281
The marriage rate in Virginiar=0.9423yrs280
The number of boiler operators in New Jerseyr=0.9520yrs278
Burglaries in Rhode Islandr=0.9338yrs271
The marriage rate in Wyomingr=0.9323yrs268
The number of conveyor operators in New Jerseyr=0.9520yrs268
Jet fuel used in Ukrainer=0.9430yrs266
Burglaries in Connecticutr=0.9338yrs261
The divorce rate in Ohior=0.9223yrs258
The number of CEOs in South Carolinar=0.9420yrs258
Petroluem consumption in Ukrainer=0.9230yrs252
Motor vehicle thefts in Massachusettsr=0.9338yrs251
The number of compensation and benefits managers in Kansasr=0.9519yrs248
The marriage rate in Arizonar=0.9223yrs247
Motor vehicle thefts in Oklahomar=0.9338yrs241
Petroluem consumption in Belarusr=0.9130yrs241
The marriage rate in Kansasr=0.9223yrs237
The number of file clerks in Arkansasr=0.9420yrs237
Arson in Colorador=0.9138yrs228
The divorce rate in Oregonr=0.9123yrs227
The number of septic tank servicers and sewer pipe cleaners in Arkansasr=0.9320yrs227
Liquefied petroleum gas used in Greenlandr=0.9222yrs224
Burglaries in Floridar=0.9138yrs218
The divorce rate in Wyomingr=0.9123yrs217
The number of sewing machine operators in Californiar=0.9420yrs217
Burglaries in Michiganr=0.9138yrs208
The number of switchboard operators in Georgiar=0.9420yrs207
The marriage rate in Alabamar=0.9123yrs206
Gasoline pumped in Kosovor=0.9114yrs205
Burglaries in Montanar=0.9138yrs198
The number of couriers and messengers in Illinoisr=0.9420yrs197
The marriage rate in Kentuckyr=0.9123yrs196
Kerosene used in Boliviar=0.8942yrs190
Burglaries in New Mexicor=0.9138yrs188
The number of prepress technicians and workers in Illinoisr=0.9420yrs187
The divorce rate in Kentuckyr=0.923yrs186
Kerosene used in Brazilr=0.8942yrs180
The number of typists in Iowar=0.9420yrs177
Gasoline pumped in Cubar=0.8942yrs170


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You caught me! While it would be intuitive to sort only by "correlation," I have a big, weird database. If I sort only by correlation, often all the top results are from some one or two very large datasets (like the weather or labor statistics), and it overwhelms the page.

I can't show you *all* the correlations, because my database would get too large and this page would take a very long time to load. Instead I opt to show you a subset, and I sort them by a magic system score. It starts with the correlation, but penalizes variables that repeat from the same dataset. (It also gives a bonus to variables I happen to find interesting.)
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